This article provides a complete, practical walkthrough of the Splitout Filter Create Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   **Title:**  
   Automate Social Media Link Extraction with an AI-Powered Web Crawler in n8n
   
   **Meta Description:**  
   Learn how to use n8n and LangChain to automatically extract social media links from company websites. This AI-driven web crawler integrates Supabase, OpenAI, and HTML parsing tools for seamless data enrichment.
   
   **Keywords:**  
   n8n workflow, AI web crawler, social media link extraction, Supabase, OpenAI GPT-4o, LangChain, URL crawler, website scraper, automation workflow, structured data extraction
   
   ---
   
   **Article:**
   
   # Automate Social Media Link Extraction with an AI-Powered Web Crawler in n8n
   
   In the world of digital intelligence and workflow automation, extracting structured data from websites has become invaluable. Whether it’s for lead enrichment, competitive research, or social media monitoring, automating data retrieval tasks not only saves time but unlocks significant scalability.
   
   This article walks you through a powerful and fully automated n8n workflow that uses AI to crawl company websites and extract all their social media profile links. Powered by OpenAI, Supabase, and LangChain, the workflow turns unstructured website data into rich, structured, and actionable insights.
   
   ## 🚀 How the Workflow Works
   
   This n8n workflow is an autonomous AI crawler that pulls company names and domains from a Supabase database, retrieves and parses content from each listed website, and extracts links to social media profiles—all without human intervention. Let's explore the key components of the workflow.
   
   ### 1. Fetch Companies from Supabase
   
   The automation kicks off with a **Manual Trigger**, followed by a database read task (`Get companies`) that fetches entries from a `companies_input` table in Supabase. Each entry includes two core fields:
   - `name` (Company Name)
   - `website` (Company Website URL)
   
   This modular step can be easily adapted to connect with other databases like Airtable, MySQL, or Google Sheets.
   
   ### 2. Clean and Map Data
   
   A pair of `Set` nodes refine the incoming data:
   - One outputs a trimmed object with only `name` and `website` for downstream use.
   - Another duplicates the values into new variables (`company_name` and `company_website`) to preserve consistent referencing.
   
   ### 3. AI-Powered Website Crawling
   
   Here’s where the workflow gets smart. Using LangChain's **Agent node (`Crawl website`) powered by OpenAI’s GPT-4o**, the system is instructed to:
   - Visit each submitted domain.
   - Use two specialized tools to scrape data:
     - **Text Retrieval Tool**: Extracts plain text from the site’s HTML.
     - **URL Retrieval Tool**: Gets all embedded links (`<a>` tags).
   
   A system message guides the AI:  
   > "You are an automated web crawler tasked with extracting social media URLs..."
   
   This allows the AI to:
   1. Interpret website structure.
   2. Extract links pointing to platforms like LinkedIn, Twitter, Instagram, or Facebook.
   
   ### 4. HTML and URL Parsing Tools
   
   Two embedded LangChain tools perform specialized actions:
   - **Text Scraper Tool**: Uses a combination of `httpRequest` and `markdown` nodes to fetch website HTML and convert it into clean text content.
   - **URL Scraper Tool**: Implements deep link extraction with precise CSS selector targeting (`<a>`) and a robust filtering process:
     - Filters out empty and duplicate URLs.
     - Ensures all relative links are resolved to full URLs.
     - Uses regex-based rules to confirm URL validity.
   
   These tools are packaged as standalone sub-workflows, enhancing modularity and reusability across other automation scenarios.
   
   ### 5. AI-Based Output Parsing
   
   Once the AI agent returns its analysis, a **JSON Parser node** validates and converts the response into structured JSON. The schema strictly enforces the following structure:
   
   ```json
   {
     "social_media": [
       {
         "platform": "LinkedIn",
         "urls": ["https://linkedin.com/company/example"]
       }
     ]
   }
   ```
   
   This ensures that downstream logic and storage operate on clean, predictable data.
   
   ### 6. Store Results in Supabase
   
   After parsing, the result is merged with its respective company metadata (`name` and `website`) and inserted into the `companies_output` table within Supabase. Now, your enriched company dataset includes verified social media handles, primed for use in marketing, research, and analytics.
   
   ---
   
   ## 🔌 Third-Party APIs Used
   
   Here’s a list of all third-party services and APIs integrated into the workflow:
   
   | API / Service | Purpose |
   |---------------|---------|
   | **Supabase**  | Data storage and retrieval (input/output company data) |
   | **OpenAI (GPT-4o via LangChain)** | Interprets website content and identifies social media URLs |
   | **n8n HTTP Request Nodes** | Fetches raw HTML from websites |
   | **n8n HTML Parser Node** | Extracts elements from webpage (e.g., `<a>` tag links) |
   | **LangChain Agent & Tools** | Framework for AI-driven autonomous actions |
   
   ---
   
   ## 💡 What Makes This Workflow Smart?
   
   - **Fully Autonomous Crawler**: AI decides which links are social profiles without any hardcoded rules.
   - **Modular Add-Ons**: The text retriever and URL extractor are reusable across projects.
   - **Open & Extensible**: Built in n8n, this workflow remains low-code, allowing easy customization and scaling.
   - **Structured Output**: Ensures downstream compatibility with CRMs, spreadsheets, and analytics pipelines.
   
   ---
   
   ## 🛠️ Use Cases
   
   - Lead enrichment for B2B marketing
   - Social listening and competitor analysis
   - Talent sourcing and employer branding audits
   - Digital agency tooling for web presence mapping
   
   ---
   
   ## 🎥 Bonus: Step-by-Step Video Tutorial
   
   If you’d like to implement this in your own n8n instance, the creator has provided a detailed tutorial available on [YouTube](https://youtu.be/2W09puFZwtY).
   
   ---
   
   ## 📬 Stay Updated
   
   For more automation workflows like this, consider subscribing to [workfloows.com](https://workfloows.com/) for insights, templates, and community advice.
   
   ---
   
   With this AI-powered n8n crawler, you unlock next-level automation and insight gathering—all while bypassing the need for complex scripts or manual web scraping. Whether you're building a SaaS tool, managing leads, or mapping digital footprints, this workflow will save hours of work with precision and scale.
   
   Start automating smarter. Start with n8n.
   
   ---

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.